Health Data Science Datathon 2024
Can you predict the next pandemic?
Overview
In this repository you will find the subset of the EPIWATCH data we will use for the datathon as well as some details on the dataset.
Accessing the data
readr::read_csv()Country
Data for twelve countries:
- United States
- India
- China
- Russian Federation
- Ukraine
- United Kingdom
- Vietnam
- Indonesia
- Brazil
- Australia
- Argentina
- Nigeria
There is also:
- location e.g. Sydney, New South Wales
- coordinates e.g. [-33.873, 151.205] (points to The Scary Canary on Kent Street so may or may not be accurate)
Diseases
Data for seven diseases
- Influenza (many strains)
- Covid-19
- Mpox
- Legionnaires’
- Dengue
- Measles
- Cholera
Syndromes
Syndromes refer to more generalised symptoms, usually recorded when the disease is unknown. Common syndromes include
- Acute gastroenteritis
- Severe acute respiratory syndrome
- Febrile syndromes
- Pneumonia
- Influenza-like illness
- See the documentation for details of related transmission types for different syndromes.
Example of syndromes preceding diseases
Early reports like this one refer to an “unexplained type of pneumonia”.
Unexplained pneumonia kills two health workers in Argentina
An unexplained type of pneumonia has killed two health workers in Tucumán, a province in northwestern Argentina, with four patients undergoing intensive care
As the week progresses, the source of the infection becomes clearer and identified as Legionnaires’ Disease in articles like this one
Legionnaires’ outbreak in Tucumán claims sixth life
Latest victim, who died late Sunday, was an 81-year-old patient with comorbidities who had been “in a serious condition” receiving treatment for pneumonia.